AI Product Manager

What You'll Do

• Product & Solution Leadership
• - Own end-to-end product delivery for bespoke AI engagements — from requirements definition through go-live and iteration
• - Drive scope discovery and gap analysis, surfacing what the client doesn't yet know they need
• - Translate complex business problems into structured, testable AI solution designs
• - Define and maintain solution roadmaps, managing prioritization across competing stakeholder needs
• - Build and maintain business requirements artifacts that are traceable, precise, and engineering-ready
• AI-First Delivery
• - Design multi-step agentic workflows — defining how agents plan, what they act on, when they escalate, and when they stop
• - Prototype and validate AI solutions directly — you find a way to make things tangible, with or without traditional engineering support
• - Build human-in-the-loop into the architecture from day one — knowing which decisions belong to AI, which belong to humans, and how handoffs should work in practice
• - Evaluate agent outputs rigorously — you define what correct looks like before anything runs, not after
• Client Engagement
• - Lead discovery sessions, stakeholder workshops, and solution alignment meetings with VP- and C-suite client contacts
• - Manage multiple concurrent engagements at different complexity levels simultaneously
• - Serve as a credible strategic voice on AI capability, limitation, and risk — especially where clients are AI-naive
• - Build client trust through transparency: rigorous answer quality thinking, clear provenance, and honest uncertainty quantification
• Practice Contribution
• - Mentor delivery-focused consultants and contribute to team methodology and toolkits
• - Help shape how the practice approaches vertical expansion, staffing models, and engagement frameworks
• - Identify and surface new solution patterns that can be replicated across the portfolio

Who You Are

• You think in systems but communicate in plain language
• You treat scope gaps as signal, not problems — and you know how to surface them without alarming clients
• You are AI-native: you use AI in your daily workflow, you think about what AI can and can't do, and you have strong opinions about quality
• You can hold a room with senior client stakeholders and then go write clean requirements the same afternoon
• You care about whether the answer is right, not just whether it shipped
• You have enough technical depth to know when the engineering team is cutting corners and enough business depth to know why that matters